Project details for BayesPy

Logo BayesPy 0.2.1

by jluttine - September 30, 2014, 16:35:11 CET [ Project Homepage BibTeX Download ]

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Description:

BayesPy provides tools for variational Bayesian inference in Python. The model is constructed as a Bayesian network. The aim is to provide a tool which is efficient, flexible and extendable enough for expert use but also accessible for more casual users.

Changes to previous version:
  • Add workaround for matplotlib 1.4.0 bug related to interactive mode which affected monitoring

  • Fix bugs in Hinton diagrams for Gaussian variables

BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Platform Independent
Data Formats: Hdf, Csv
Tags: Variational Inference, Bayesian Inference
Archive: download here

Other available revisons

Version Changelog Date
0.2.1
  • Add workaround for matplotlib 1.4.0 bug related to interactive mode which affected monitoring

  • Fix bugs in Hinton diagrams for Gaussian variables

September 30, 2014, 16:35:11
0.2
  • added all common distributions: Poisson, beta, multinomial, Bernoulli, categorical, etc

  • added Gaussian arrays (not just scalars or vectors)

  • added Gaussian Markov chains with time-varying or swithing dynamics

  • added discrete Markov chains (enabling hidden Markov models)

  • added deterministic gating node

  • added deterministic general sum-product node

  • added parameter expansion

  • added new plotting functions: pdf, Hinton diagram

  • added monitoring of posterior distributions during iteration

  • improved documentation

August 14, 2014, 17:24:22
0.1

Initial Announcement on mloss.org.

September 25, 2013, 16:10:58

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